Awesome Mcp Server
What is Awesome Mcp Server
Awesome-MCP-Server is a repository containing various implementations of MCP (Model Context Protocol) servers, each designed for specific functionalities such as weather data retrieval and LinkedIn profile access.
Use cases
Use cases include integrating the Weather Server with desktop applications for real-time updates, utilizing the LinkedIn Profile Server for AI-driven professional insights, and fetching PubMed articles for research purposes.
How to use
To use Awesome-MCP-Server, clone the repository using ‘git clone https://github.com/solvc4u/Awesome-MCP-Servers.git’, navigate to the desired server folder, and follow the instructions in the respective README.md file. For additional help, refer to the MCP Playlist on the AI Anytime YouTube Channel.
Key features
Key features include real-time weather data fetching, LinkedIn profile data retrieval via an external API, and access to PubMed articles based on user queries.
Where to use
Awesome-MCP-Server can be used in various fields such as weather forecasting applications, professional networking tools, and academic research platforms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Awesome Mcp Server
Awesome-MCP-Server is a repository containing various implementations of MCP (Model Context Protocol) servers, each designed for specific functionalities such as weather data retrieval and LinkedIn profile access.
Use cases
Use cases include integrating the Weather Server with desktop applications for real-time updates, utilizing the LinkedIn Profile Server for AI-driven professional insights, and fetching PubMed articles for research purposes.
How to use
To use Awesome-MCP-Server, clone the repository using ‘git clone https://github.com/solvc4u/Awesome-MCP-Servers.git’, navigate to the desired server folder, and follow the instructions in the respective README.md file. For additional help, refer to the MCP Playlist on the AI Anytime YouTube Channel.
Key features
Key features include real-time weather data fetching, LinkedIn profile data retrieval via an external API, and access to PubMed articles based on user queries.
Where to use
Awesome-MCP-Server can be used in various fields such as weather forecasting applications, professional networking tools, and academic research platforms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Awesome-MCP-Server 🚀
This repository contains MCP (Model Context Protocol) servers . Each folder represents a different MCP server implementation.
📂 Server Implementations
-
Weather Server 🌦️
- Fetches real-time weather details and forecasts.
- Can be integrated with MCP clients like Claude for Desktop.
-
LinkedIn Profile Server 🔗
- Retrieves LinkedIn profile data via an external API from RapidAPI.
- Enables AI models to process professional profile insights.
-
Fetch PubMed Article Server 🔗
- Retrieves articles from PubMed given a query.
🛠️ How to Use
- Clone the repository:
git clone https://github.com/solvc4u/Awesome-MCP-Servers.git cd MCP-Servers - Navigate to the desired server folder. Follow the respective README.md file for instructions.
- Watch the MCP Playlist on AI Anytime YT Channel if you face any problem.
📢 Contribute
Feel free to open issues, submit pull requests, or suggest improvements!
📜 License
This project is open-source under the MIT License.
🔔 Like this project? Give it a ⭐ on GitHub!
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
